Rentcars scales app growth and diversifies media mix with Singular

Founded in 2009, Rentcars has grown into the largest online car rental platform in Latin America and a global leader in its field. Born on the web with a digital first focus, the company allows travelers to compare rates from over 300 rental companies in more than 160 countries via its website and mobile app.

Operating on a B2B2C model, Rentcars manages bookings while partner companies handle security deposits so customers can focus on enjoying their journey. In 2016, Rentcars launched the first version of its Android and iOS apps, and has since continued to enhance them, empowering users to easily find and rent the perfect car anywhere in the world.

Before partnering with Singular, Rentcars relied solely on Google’s suite of tools: Google Analytics, Google Ads, and Firebase to manage its apps. That setup constrained its ability to explore new media channels because it lacked unified visibility, attribution, and comprehensive measurement across web and mobile.

The mobile campaigns were led by a team with deep roots in web based user acquisition, and when Rentcars formally established its Mobile Growth team, it intensified its focus on mobile UA.

Although mobile web was already driving a significant share of revenue, integrating with Singular enabled Rentcars to fully incorporate app performance insights and optimize its media mix across both web and mobile applications.

As Rentcars grew in scale and complexity and deepened its investment in mobile through the creation of a dedicated Mobile Growth team, it became clear that a strategic partner was needed to structure and scale app performance in a sustainable way. The company was not just looking for a tool but for a partner that could support its mobile first ambitions with both flexibility and depth.

The specific needs included end to end visibility, attribution accuracy, flexibility across different app campaigns and geographies. The existing stack lacked unified measurement across web and app and could not support exploration of new media channels with confidence.

From a technical point of view, Rentcars required a platform that could integrate deeply with its stack, including data lakes with S3/Redshift, BI tools, and CRM flows. They also needed flexible attribution modeling, real time data access, and clean structured data streams to automate processes and extract insights with precision.

Singular delivered a strong cost benefit equation, not just on pricing but on how well the platform aligned with the business model and challenges Rentcars aimed to solve. Onboarding was smooth, supported by strong documentation and hands on help which enabled Rentcars to launch quickly and start seeing impact faster than expected.

Singular’s edge came from its combination of flexible attribution modeling, deep channel integrations, and real time data access. Also important was Singular’s ability to aggregate costs, integrate with Rentcars internal data lake, and provide clean structured data streams. These features allowed the tech teams to move faster, automate more processes, and extract insights with greater precision.

Singular provided a unified platform for measurement, attribution, and optimization. It enabled Rentcars to build a scalable measurement infrastructure that supports its multi-market operations and guide smarter investment decisions.

Features like cohort analysis, fraud protection, and channel diversification proved particularly helpful in improving visibility into campaign effectiveness.

The technical integrations supported data lakes, BI tools, and CRM flows, giving end to end data pipelines and structured data streams. With these tools, Rentcars could diversify its media mix, unlock new growth channels, and optimize both web and app campaigns based on accurate attribution.

These improvements delivered greater operational efficiency, improvements in customer loyalty, and expanded reach into new audience segments. Rentcars’ ability to grow under pressure highlights both the strength of its model and its gains in market share and execution efficiency compared to competitors facing contraction.